Design AI Systems That Do Not Need Perfectly Trusted Models

NVIDIA’s new Open Agent Safety Platform is a sign of where AI systems are heading. We are integrating Large Language Models into more and more workflows — and increasingly, not just to generate text, but to take actions. As that surface area grows, so does our exposure to hallucinations, inconsistencies, edge cases, and unexpected behavior. The important shift is this: LLM reliability cannot depend on the model alone. The surrounding system will need to do more of the work — enforcing permissions, validating actions, monitoring behavior, isolating execution, and limiting blast radius. In other words, LLMs will become increasingly governed, constrained, and monitored not only at the model level, but across the architecture around them. That is what mature AI systems will increasingly look like: not “trust the model more,” but “design the system so the model doesn’t need to be perfectly trusted.”